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Journal Articles
- 2024
[j1]Moritz Platt
, Daniel Platt, Peter McBurney:
Sybil attack vulnerability trilemma. Int. J. Parallel Emergent Distributed Syst. 39(4): 446-460 (2024)
Conference and Workshop Papers
- 2022
- [c3]Benjamin Aslan, Daniel Platt, David Sheard:
Group invariant machine learning by fundamental domain projections. NeurReps 2022: 181-218 - 2021
- [c2]Moritz Platt, Johannes Sedlmeir, Daniel Platt, Jiahua Xu, Paolo Tasca, Nikhil Vadgama, Juan Ignacio Ibañez:
The Energy Footprint of Blockchain Consensus Mechanisms Beyond Proof-of-Work. QRS Companion 2021: 1135-1144 - 2018
- [c1]Jack L. H. Crawford, Craig Gentry, Shai Halevi, Daniel Platt, Victor Shoup:
Doing Real Work with FHE: The Case of Logistic Regression. WAHC@CCS 2018: 1-12
Informal and Other Publications
- 2022
- [i3]Benjamin Aslan, Daniel Platt, David Sheard:
Group invariant machine learning by fundamental domain projections. CoRR abs/2202.02164 (2022) - 2021
- [i2]Moritz Platt, Johannes Sedlmeir, Daniel Platt, Paolo Tasca, Jiahua Xu, Nikhil Vadgama, Juan Ignacio Ibañez:
Energy Footprint of Blockchain Consensus Mechanisms Beyond Proof-of-Work. CoRR abs/2109.03667 (2021) - 2018
- [i1]Jack L. H. Crawford, Craig Gentry, Shai Halevi, Daniel Platt, Victor Shoup:
Doing Real Work with FHE: The Case of Logistic Regression. IACR Cryptol. ePrint Arch. 2018: 202 (2018)
Coauthor Index
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